Results 11 to 20 of about 7,309 (206)
Anomaly Detection for the Centralised Elasticsearch Service at CERN [PDF]
Frontiers in Big Data, 2021 For several years CERN has been offering a centralised service for Elasticsearch, a popular distributed system for search and analytics of user provided data.
Jennifer R. Andersson +2 more
doaj +8 more sources
Tuning of Elasticsearch Configuration: Parameter Optimization Through Simultaneous Perturbation Stochastic Approximation [PDF]
Frontiers in Big Data, 2022 Elasticsearch is currently the most popular search engine for full-text database management systems. By default, its configuration does not change while it receives data.
Hårek Haugerud +3 more
doaj +4 more sources
JMIR Medical InformaticsBackgroundThe volume of digital data in health care is continually growing. In addition to its use in health care, the health data collected can also serve secondary purposes, such as research.
Romain Griffier +2 more
doaj +3 more sources
Securing and sharing Elasticsearch resources with Read-onlyREST [PDF]
EPJ Web of Conferences, 2019 In early 2016 CERN IT created a new project to consolidate and centralise Elas-ticsearch instances across the site, with the aim to offer a production quality new IT services to experiments and departments.
Schwickerath Ulrich +2 more
doaj +4 more sources
Large Elasticsearch cluster management [PDF]
EPJ Web of Conferences, 2020 The Centralised Elasticsearch Service at CERN runs the infrastructure to provide Elasticsearch clusters for more than 100 different use cases. This contribution presents how the infrastructure is managed, covering the resource distribution, instance ...
Saiz Pablo, Schwickerath Ulrich
doaj +3 more sources
Simulating and Evaluating a Real-World ElasticSearch System Using the RECAP DES Simulator [PDF]
Future Internet, 2021 Simulation has become an indispensable technique for modelling and evaluating the performance of large-scale systems efficiently and at a relatively low cost. ElasticSearch (ES) is one of the most popular open source large-scale distributed data indexing
Malika Bendechache +4 more
doaj +2 more sources
BLINK with Elasticsearch for Efficient Entity Linking in Business Conversations [PDF]
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022 An Entity Linking system aligns the textual mentions of entities in a text to their corresponding entries in a knowledge base. However, deploying a neural entity linking system for efficient real-time inference in production environments is a challenging task.
Md Tahmid Rahman Laskar +6 more
+6 more sources
Magento 2 and Elasticsearch Integration
JIRAE (International Journal of Industrial Research and Applied Engineering), 2020 The purpose of this research is to extend the default integration of Elasticsearch in Magento 2.3 to search for other content which is category and content pages.
Andy Sukanto Kan +2 more
doaj +4 more sources
JISKA (Jurnal Informatika Sunan Kalijaga), 2023 Currently, humans live in an era of data oceans, where the amount of data production is increasing from time to time, which is followed by severe challenges in terms of processing, storing, and analyzing data, especially big data.
Theresia Liana Sinaga +2 more
doaj +3 more sources
Model-driven Query Generation for Elasticsearch [PDF]
Annals of computer science and information systems, 2018 Elasticsearch is a distributed RESTful search engine, capable of solving growing number of use cases and can handle petabytes of data in seconds. However, Elasticsearch comes with a complex query language which causes a steep learning curve for the developers and, therefore, creation of queries can be difficult and time-consuming in many cases.
Berkay Akdal +3 more
doaj +5 more sources